生物银行中的AI和omics技术:公共卫生中的应用和挑战
Pedro Venturini1, Paula Lobato Faria2, João V Cordeiro3
1NOVA National School of Public Health, NOVA University Lisbon, Lisbon, Portugal.
Public health
|May 2, 2025
概括
人工智能 (AI) 和生物银行中的omics研究为公共卫生提供了好处,但面临着技术和伦理方面的挑战. 解决这些问题对于负责任的创新和最大化积极的健康结果至关重要.
科学领域:
- 生物银行和公共卫生
- 医疗保健中的人工智能
- 基因组学和奥米学研究研究
背景情况:
- 生物银行正在越来越多地整合人工智能 (AI) 和omics数据.
- 这种趋同为公共卫生带来了重大机遇和挑战.
- 了解这些影响对于未来的医疗保健进步至关重要.
研究的目的:
- 探索人工智能和omics在生物银行领域的创新对公共卫生的影响.
- 确定与这些综合技术相关的当前和未来的挑战.
- 为负责任的开发和实施策略提供信息.
主要方法:
- 进行了叙事文学评论.
- 在主要的科学数据库 (Scopus,PubMed,Web of Science,IEEEExplore) 中进行了搜索.
- 专题分析用于综合37项选定的研究的发现.
主要成果:
- 确定了生物库内人工智能和omics集成的关键发展.
- 重要的技术挑战包括人工智能模型选择,数据质量和验证.
- 伦理和实施障碍涉及偏见,隐私,安全,公平和治理.
结论:
- 人工智能和生物银行中的omics对公共卫生具有变革性的潜力.
- 应对技术,道德和实施方面的挑战至关重要.
- 强大的框架,高质量的数据,协作和透明的AI对于最大限度地提高收益和降低风险至关重要.
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